NDLI: Super-pixel image segmentation algorithm based on adaptive equalisation feature parameters

Content Provider	IET Digital Library
Author	Ding, Shifei Wang, Lijuan Cong, Lin
Abstract	Image segmentation is a key step in the process of image data processing. The quality of image segmentation will directly affect the accuracy of image cognitive understanding. The purpose of image segmentation is to divide the image into regions with specific semantics. For the simple linear iterative clustering (SLIC) algorithm, the feature equalisation parameters need to be set manually during image segmentation, which results in the lack of segmentation effects and slow processing time. By introducing the theory of intermediary mathematics, an improved adaptive SLIC super-pixel algorithm is proposed, which can adaptive generate characteristic equalisation parameters according to the specific situation of the image, thereby simplifying the operation steps and improving the image segmentation effect. After experimental verification and analysis, compared with the original SLIC algorithm and several other super-pixel contrast algorithms, the algorithm in this study can effectively shorten the processing time and achieve a better segmentation effect.
Starting Page	4461
Ending Page	4467
Page Count	7
ISSN	17519659
Volume Number	14
e-ISSN	17519667
Issue Number	Issue 17, Dec (2020)
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/10.1049/iet-ipr.2020.0475
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/iet-ipr/14/17
Journal	IET Image Processing
Publisher Date	2020-12-04
Access Restriction	Open
Rights Holder	© The Institution of Engineering and Technology
Subject Keyword	Adaptive Equalisation Feature Parameter Adaptive Equalisers Adaptive Generate Characteristic Equalisation Parameter Computer Vision And Image Processing Technique Data Handling Technique Image Cognitive Understanding Image Data Processing Image Segmentation Image Segmentation Effect Improved Adaptive SLIC Super-pixel Algorithm Intermediary Mathematics Theory Interpolation And Function Approximation Iterative Method Numerical Analysis Optical, Image And Video Signal Processing Pattern Clustering Simple Linear Iterative Clustering Algorithm Super-pixel Contrast Algorithm Super-pixel Image Segmentation Algorithm
Content Type	Text
Resource Type	Article
Subject	Signal Processing Electrical and Electronic Engineering Computer Vision and Pattern Recognition Software

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4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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